In an industry where patient safety and regulatory compliance are non-negotiable, making unverified or misleading claims isn’t just bad practice – it can lead to hefty fines, product recalls, and serious reputational damage.

Once a device has been approved by an approved body in the UK, the question then becomes, how can a member of the public find out if a device is approved for use, and what it is approved for? Indeed, can we find out how many AI medical devices are actually on the market in the UK?

Guided by Hardian Health’s regulatory expertise, UCL spin-out Guildford Street Laboratories (GSL) has achieved a landmark milestone with their blood-based test, PD Predict, receiving FDA Breakthrough Device Designation

In part 1, we outlined the key concepts of a quality management system (QMS), explored what a QMS is – and what it is not – discussed why a QMS is required by law and who needs it, and provided an overview of the structure of a QMS. Now, in part 2, we'll move on to the practical side of implementing and managing a QMS effectively. Now then, back to Kipling’s six honest men…

Last month we hosted our third Health Tech Summit, bringing together our healthtech community at the London Institute for Healthcare Engineering for an afternoon filled with engaging discussions, expert insights, and canapés with a view!

QMS. Three simple letters that often instil fear and dread into healthtech developer’s minds. It needn’t be that way! A well-designed Quality Management System will not only ensure your company is compliant with the relevant legislation, it will actually enhance and improve your internal processes so that your whole team feels in control of the quality of your products.

Current hot topics in clinical AI include clinical summarisers and ambient scribes. Poised to revolutionise the practice of clinical documentation, these technologies hold significant potential benefits, but also risks. This raises the question is - do they count as medical devices, and should they be regulated as such?

A key piece of the technical documentation for a medical device is a requirement stack that covers the total product lifecycle (TPLC) of that device, including the requirements.

It goes without saying (or you’d think so anyway) that strategic planning goes hand in hand with medical device development for regulatory approval and market success. However, it is often overlooked.

The rise of generative AI and large language models (LLMs), such as ChatGPT, has generated considerable excitement and investment in their potential medical applications. Despite the hype, this enthusiasm has yet to be matched with the level of scientific evidence needed to ensure these technologies are deployed in healthcare safely.

As AI continues to innovate, we regularly hear about new models being developed, tested and advertised for medical purposes without regulatory certification. The radiology AI space, now the most saturated of all FDA cleared AI enabled medical devices, also faces this issue so you might ask yourself, how can you access AI models, easily, and securely, which are certified?

Expertise is needed to conduct thorough due diligence in the highly regulated and evidence-based healthcare sector. Hardian covers key clinical and regulatory points when conducting DD for investors, mergers, or acquisitions of an SaMD or AIaMD company.